Optimization of Surface Grinding Parameters Used in Improved Surface Integrity

Abstract

Surface grinding is one of the most extensively used procedures in industry for finishing materials. Different machining parameters have a great impact on a product's surface quality. While processing temperature increases and heat energy is generated, that may cause a few changes in the tool or work piece in chemical and physical properties. This will have an effect on the final product surface. Furthermore, numerous aspects of the machine, such as vibration, degree of freedom, and precise size, have an impact on the quality of the surface finish. The machining parameters, on the other hand, have a major role in determining the surface finish. The functional behavior of machined components can be enhanced by the grinding process, so proper selection of grinding wheel specifications and grinding parameters can result in improving the surface integrity. Because of this, understanding the surface integrity imparted by grinding is very important. This paper will display the results of an experimental study that were conducted to comprehensively investigate the effect of surface grinding input machining parameters on the formed surface quality. The experiments are running by changing the input machine parameters which are the feed rate, cutting speed, cooling method and depth of cut. The surface roughness and the cutting forces are the performance to be measured and assessed. It is concluded that the surface roughness (Ra) decreases with the increase in cutting speed and the coolant flow rate. But, as the feed rate and or the depth of cut increase the surface roughness (Ra) will also increase. The results of this investigation can be used to determine the optimal process parameters in order to obtain the required roughness quality of the produced surface in grinding of (ASTM A36) mild carbon steel.

Country : Egypt

1 M. M. Salem2 A. A. Ibrahim3 S. S. Mohamed

  1. Manufacturing Engineering and Production Technology Department, Modern Academy, Egypt
  2. Mechanical Engineering Department, Shoubra Faculty of Engineering, Benha University, Egypt
  3. Mechanical Engineering Department, Shoubra Faculty of Engineering, Benha University, Egypt

IRJIET, Volume 6, Issue 5, May 2022 pp. 124-130

doi.org/10.47001/IRJIET/2022.605015

References

  1. Hatem, H. “Study the Effect of Cutting Conditions for turning process on the Machined Surface”. Nahrain Univ. Coll. Eng. J. 2011, 14, 61–66.
  2. Ashvin, J.; Nanavati, J.I. “Optimization of machining parameters for turning operations based on response surface methodology”. Measurement, 2013, 46, 1521–1529.
  3. Sarosh, M.; Jahanzaib, M.; Mumtaz, J.; Sarfraz, S. “Investigation of Electric Discharge Machining Parameters to Minimize Surface Roughness”. Pak. J. Sci. 2016, 68, 315–325.
  4. Charles, S.; Arunachalam, V.P. “Property Analysis and Mathematical modeling of machining properties of Aluminum alloy hybrid composites produced by liquid metallurgy techniques”. Indian J. Eng. Mater. Sci. 2004, 11, 473–480.
  5. Shin, Y.C.; Coker, S.A. “Surface Roughness Measure by Ultrasonic Sensing for in Process Monitoring”. J. Eng. Ind. 1995, 117, 439–447. [CrossRef].
  6. G. Taguchi, “Introduction to Quality Engineering”, Asian Productivity Organization, Tokyo 1990.
  7. W. H. Yang, Y. S. Tarng, “Design Optimization of cutting parameters for turning operations based on the Taguchi method”, Journal of Materials Processing Technology, 84 (1998), 122129.
  8. Serif çetin1, turgay, Optimization of the machining parameters for the turning of 15-5 ph stainless steels using the taguchi method”, duzce university, institute of science and technology, department of manufacturing engineering, 81620, duzce, turkey prejemrokopisa – received: 2016- 01-05; sprejem za objavo – accepted for publication: 2016-01-27.
  9. Malay, “Optimization of machining parameters affecting surface roughness of al6082 in dry end milling operation on vmcakhilesh chaudhary”, International research journal of engineering and technology (irjet) e-issn: 2395- 0056, volume: 04 issue: 08 | aug - 20w1w7.
  10. Akhilesh Chawdhary, “Optimization of process parameters of cnc milling”, Malay, volume 3, issue 4 (2016) 59-63, issn 2347 - 3258 International journal of advance research and innovation.
  11. T. Tawakoli, M. J. Hadad, M. H. Sadeghi, A. Daneshi, S. Stockert, A. Rasifard, “An experimental investigation of the effects of workpiece and grinding parameters on minimum quantity lubrication-LQL grinding, International Journal of Machine Tools & Manufacture, 49 (2009), 924932.
  12. L. R. Silva, E. C. Bianchi, R. E. Catai, R. Y. Fusse, T. V. Franca, P. R. Aguiar, “Study on the behavior of the minimum quantity lubricant- MQL technique under different lubrication and cooling conditions when grinding ABNT 4340 steel”, J. Braz. Soc. Mech. Sci. Eng., 27 (2005) 2, 192199.
  13. L. R. Silva, E. C. Bianchi, R. Y. Fusse, R. E. Catai, T. V. Franca, P.R. Aguiar, “Analysis of surface integrity for minimum quantity lubricant-MQL in grinding”, Int. J. Mach. Tools Manuf., 47 (2007) 2, 412418.
  14. Mahardika, M., Tsujimoto, T., & Mitsui, K., “A new approach on the determination of ease of machining by EDM processes”, International Journal of Machine Tools and Manufacture, 48, 746-760, (2008).
  15. Mishra, V.K., Salonitis, K. 2013, “Empirical estimation of grinding specific forces and energy based on a modified Werner grinding model”, Procedia CIRP, Vol.8: Page 287-292.